Background
Malaria and helminthiases, two of the most prevalent infections affecting humans, overlap extensively in their epidemiological distributions and frequently co-infect in the same individuals [
1‐
9]. Human intestinal helminthiasis is most commonly caused by soil-transmitted helminths (STHs), namely
Ascaris lumbricoides,
Trichuris trichiura, and the hookworms
Necator americanus and
Ancylostoma duodenale [
3,
4,
8]. Although the levels of helminth infections are generally low in young children, resulting in few
Plasmodium–helminth co-infections [
10], school-aged children, rather than pre-school children or adults, are at greatest risk of co-infections and its consequences [
2,
3].
Various studies have explored the influence of helminth infections on the course of malaria in humans but whether and how these two parasites interact within co-infected hosts remains controversial [
1,
2,
4,
7,
11,
12]. Co-infecting parasites may interact either positively or negatively in the receptive hosts [
6,
10,
13] through a range of mechanisms including resource competition, immune-mediated interactions and direct interference [
7,
8]. An earlier study performed in 1978 reported that anti-helminthic treatment of severe ascariasis in a high-transmission area was followed by an increase in symptomatic malaria suggesting a protective role of helminths against malaria. However, several studies have shown that infection with helminths increases susceptibility to malaria infection [
1,
2,
9]. Recent studies have shown a positive association between hookworm infection and asymptomatic
Plasmodium falciparum parasitaemia [
8], while individuals with light
Trichuris trichiura and
Ascaris lumbricoides infections had lower
Plasmodium densities than those with moderate or heavy infection [
9]. Nevertheless, no association was found between STH infection and malaria in Uganda [
2].
Although the aetiology of anaemia is complex,
P. falciparum and helminth infections have long been recognized as major contributors to anaemia in endemic countries. Malarial anaemia is more typically associated with the acute clinical state, but there is evidence to suggest that asymptomatic malaria may contribute substantially to anaemia in endemic regions [
10] through mechanisms such as haemolysis, increased spleen clearance of infected and uninfected red blood cells and cytokine induced dyserythropoesis. Intestinal helminths may cause anaemia as a result of direct blood loss, nutritional theft and impairment of appetite due to immunological factors [
6,
8,
10,
13]. There is evidence that
Ascaris lumbricoides-associated vitamin A deficiency may further increase the risk of anaemia in those co-infected with malaria [
10]. Previous studies have shown that malaria–helminth co-infected individuals had significantly higher prevalence of anaemia and lower mean haemoglobin concentration compared to those infected with malaria only [
3,
6,
12]. In the South West Region of Cameroon, school children infected exclusively with
P. falciparum had higher levels of anaemia compared with children with co-infections, helminth infection only or uninfected [
11].
The association between malaria susceptibility and helminth infection seems to be influenced by the type of helminth infection, the intensity of infection and the age of the population studied [
5]. So far all the studies conducted on malaria–helminth co-infections in the South West Region are cross sectional. Longitudinal studies of malaria and helminth infections in well-defined cohorts will provide more valuable data on the epidemiology and/or control of these parasitic diseases. This study was, therefore, conducted to assess the effect of intestinal helminths infection on the prevalence and/or incidence of malaria and their combined impact on anaemia in children resident in Mutengene, South West Region of Cameroon.
Methods
Study area
The study was carried out in Mutengene, a semi-urban community located in the Mt Cameroon region, Fako division of the South West Region of Cameroon between February 2011 and March 2012. The study community comprised ten residential quarters spanning the entire Mutengene community. Volunteer study participants were sampled either at the Mutengene Medical Integrated Health Centre or at temporary sampling sites within their respective quarters in the community. The community has a Medical Integrated Health Centre which is the only government owned institution that offers affordable health services to the community. This town is located at about 220 m above sea level and has a heterogeneous population of approximately 40,000 inhabitants who originate mainly from neighbouring regions in search of its fertile farmland and business opportunities [
14,
15]. The Mutengene health area has an equatorial climate that consists of a short dry season (late November to February) and a long rainy season (March–November) with maximum rainfall between June and August interspersed by early moderate (March–May) and late moderate (September–November) rains [
14]. It is characterized by mean temperatures of 28 °C, 299.2 mm of rainfall and mean relative humidity of 87 % [
16]. The Mount Cameroon region is hyperendemic for malaria [
14,
17,
18], with the highest entomological inoculation rate (EIR) reaching an annual average of 1077.1 infectious bites/person/year at Esuke Camp in Mutengene [
19]. Malaria transmission is more intense during the rainy season with peak transmission during the heavy rains. The main malaria vectors are
Anopheles gambiae, Anopheles funestus and
Anopheles hancocki. Plasmodium falciparum, the predominant malaria parasite species, accounts for up to 96 % of malaria infections in the study area [
20].
Study population and sampling procedure
This study was a community-based longitudinal study of a cohort of children aged between 6 months and 10 years from randomly selected households in the community. After randomly selecting 10 (50 %) of the 20 quarters in the study community, households within the selected quarters also went through systematic random selection. Approval for this study was obtained from the Ministry of Health and from the National Ethics Committee. Following informed consent from parents/guardians, study participants were recruited from households resident in the community. The incidence of malaria was determined by both passive case detection through self-referral to the Mutengene Health Centre (or other health establishments) and active case detection using a validated morbidity monitoring questionnaire (biweekly home visits and sampling every 3 months). During the home visits febrile children were brought to the health centre for clinical examination and treatment. Finger prick blood samples were collected from all febrile/sick children at the health centre for haemoglobin measurement and malaria parasitaemia detection. Anthropometric measurements and axillary temperature of participants were recorded every trimester from enrolment till 1 year and venous blood samples were collected at enrolment, at 6 months and at 12 months, while finger prick samples were collected at 3 and 9 months for malaria parasitaemia detection and haemoglobin measurement. An episode of malaria was defined as fever with an axillary temperature >37.5 °C, the presence of malaria parasites in a thick blood film and one other sign/symptom of malaria (shaking chills, headache, muscle ache, vomiting or fatique). Children presenting with acute malaria during the study period were given artemether–lumefantrine, a first-line ACT combination currently recommended for use in the treatment of uncomplicated malaria in Cameroon. Stool samples were also collected at enrolment and 6 months later for the detection of intestinal helminths. All participants had access to free consultation, malaria tests and treatment throughout the study period.
Haematological analysis
Full blood count was determined in venous blood using an automated haemoanalyser (Teco, USA). Anaemia was defined as a haemoglobin (Hb) level <11 g/dl and was further classified based on WHO guidelines as severe anaemia: Hb <7 g/dl, moderate anaemia: Hb 7–9.9 g/dl, mild anaemia: Hb 10–10.9 g/dl [
21].
Malaria parasitaemia determination
Thick and thin blood films prepared from blood samples following standard procedures were stained with 10 % Giemsa (Sigma, St Louis, USA). Malaria parasitaemia status, density and species were determined by light microscopy using an Olympus microscope (Olympus Optical Co., Ltd, Japan). Smears were reported as negative only after observing at least 100 high power fields. Using the white blood cell (WBC) count per μl of blood of each participant, the parasitaemia density/μl was estimated by counting the number of asexual parasites against a minimum of 200 leukocytes and calculated using the following formula:
Parasitaemia density (parasites/µl of blood) = (No of parasites × WBC count/µl)/(No of WBCs counted).
Intestinal helminths determination
Intestinal helminths were detected in stool samples using the formol-ether sedimentation concentration technique as described by Ash and Orihel [
22]. Approximately 1 g of stool was washed using 10 % formol-ether solutions and the pellet stained with a drop of Lugol’s iodine. The ova or larvae of helminths were identified by light microscopy (Olympus Optical Co., Ltd, Japan) and the infection quantified as the mean egg per gram (epg) of stool.
Statistical analysis
Data was entered into Excel and analysed using SPSS Statistics version 20 for windows (SPSS Inc, Chicago USA). Malaria parasitaemia and helminth densities were log-transformed before analysis. Differences in groups means were assessed using the one-way analyses of variance (ANOVA), while differences in proportions were assessed using Chi square. Associations between helminth infection, malaria–helminths co-infection and anaemia were assessed by binary logistic regression. The levels of correlation between variables were determined by calculating Pearson’s correlation coefficient (r). A difference or correlation giving a p value ≤0.05 was considered statistically significant.
Discussion
There is published data on malaria and helminths co-infection in the south west region of Cameroon [
4,
11,
23] but there is none assessing the impact of malaria and helminths co-infection on the incidence of malaria episodes. This longitudinal survey of a cohort of 357 Cameroonian children living in Mutengene assessed their clinical, parasitological (
Plasmodium and intestinal helminths) and anaemia status and evaluated the relationship between malaria parasitaemia, malaria episodes, anaemia and helminths status. The malaria parasitaemia prevalence observed in this study was lower compared to that reported by Nkuo-Akenji et al. [
11] and Achidi et al. [
4] although these studies were conducted in different towns of the South West Region of Cameroon. This can be explained by the scaling up of health education and the implementation of malaria control strategies in recent years especially the mass distribution of free insecticide treated bed nets in the study area. Majority of the children who were malaria parasitaemic during the study were 5–10 years old but a greater proportion of those who had asymptomatic parasitaemia belonged to this age group compared to healthy malaria parasitaemia negative children and those who had episodes of malaria. The mean age of children who had at least one malaria episode was 4.06 years and children less than 5 years old had more attacks compared to those who were 5–10 years old. Though older children (5–10 years) were more susceptible to
Plasmodium infection, children less than 5 years old were exposed to more malaria episodes during the 1 year study period. This observation is in accordance with longstanding published reports that children below 5 years old are more susceptible to malaria. Malaria parasitaemia was predominantly associated with clinical manifestation as children who had malaria episodes had significantly higher malaria parasitaemia densities compared to those who were malaria parasitaemia positive without clinical symptoms. The highest incidence of malaria was observed in the month of March, which corresponds to the transition from the dry season to the rainy season (moderate rains), the incidence reduced slightly in the month of June (peak rainy season) and this coincided with the highest malaria prevalence recorded during the study period.
Although the aetiology of anaemia is complex and multi-factorial, parasitic diseases, including
P. falciparum and helminth infections, have long been recognized as major contributors to anaemia in endemic countries. A very high prevalence of anaemia was recorded at baseline (71.5 %) in contrast to the lower prevalences of 30.8, 11.9 and 10.9 % reported by Nkuo-Akenji et al. [
11], Achidi et al. [
4] and Alemu et al. [
13], respectively, but similar to the prevalence reported by Makoge et al. [
23]. Children below the age of 5 years were more susceptible to anaemia in accordance with facts that this age group is most vulnerable to malaria and its consequences. Malarial anaemia is more typically associated with the acute clinical state, but there is evidence to suggest that asymptomatic parasitaemia may contribute substantially to anaemia in endemic regions [
10]. A greater proportion of participants who were malaria parasitaemia positive were anaemic throughout the study although only a small proportion of the children who were anaemic were actually malaria parasitaemia positive. This implies that despite the fact that malaria parasitaemia was an important cause of anaemia there were obviously other significant contributing factors. Nevertheless, malaria parasitaemia was the major contributor of anaemia as haemoglobin levels of children who experienced malaria episodes were lower compared to those with asymptomatic parasitaemia and those who were malaria parasitaemia negative. In addition, children with malaria episodes as well as those with asymptomatic parasitaemia were associated with susceptibility to anaemia compared to children who were malaria parasitaemia negative.
The baseline prevalence of intestinal helminths decreased from 19.8 to 10.2 % 6 months later probably due to the general deworming of all participants at enrolment and emphasis on the need for regular deworming. However it is worth mentioning that single stool specimen examination was employed in this case thus the possibility of reduced sensitivity. The helminths detected were almost entirely composed of the soil transmitted helminths
Ascaris lumbricoides,
Trichuris trichuria and the hookworms. This prevalence was comparable to that observed by Achidi et al. [
4] but lower when compared to that reported by Nkuo-Akenji et al. [
11] and Alemu et al. [
13]. Co-infecting parasites may interact either positively or negatively in the receptive hosts [
6,
10] through a range of mechanisms including resource competition, immune-mediated interactions and direct interference [
7,
8]. Among the children positive for helminths at baseline, a greater proportion (58.7 %) were anaemic confirming previous reports that helminth infections are significant contributors to anaemia (Additional file
3). Human populations of helminths and malaria co-infection have shown contradictory results for the course of the malaria infection and disease possibly depending on the type of helminth studied, the intensity of the helminth infection and the age of the study population [
5]. A smaller proportion of children co-infected with
Plasmodium and helminths were anaemic compared to a higher proportion of children infected with
Plasmodium alone or helminths alone and this agrees with what was observed by Nkuo-Akenji et al. [
11], but is in contrast with reports by Degarege et al. [
6]. Likewise haemoglobin levels of children who were co-infected were higher compared to children infected with either
Plasmodium or helminths alone. Co-infection with both parasites was protective against anaemia whereas children infected with
Plasmodium alone were more susceptible to anaemia. This is probably because the outcome of
Plasmodium–helminth interactions is beneficial to the host in that the individual negative effect of both infections on the host cancel out. The successful resolution of
Plasmodium infection requires a coordinated succession from a T-helper cell type 1 (Th1) to a Th2 type response, and anything that upsets the timing or balance of this process can lead to chronic or severe infection [
5]. Infection with helminths has a profound effect on the immune system resulting in polarization towards Th2, characterized by high levels of cytokines such as interleukin-4 (IL-4), IL-5, IL-13 and high serum levels of immunoglobulin E [
2]. The long-term survival of the helminths is thought to be facilitated by the induction of immuno-regulatory mechanisms that include the induction of regulatory T cells [
2,
7] and modulation of cells of the innate immune system, such as macrophages and dendritic cells, which result in an anti-inflammatory environment, characterized by increased levels of IL-10 and TGF-β [
1] and possibly limiting pro-inflammatory mediated harmful consequences such as anaemia.
The negative correlation of malaria parasitaemia with haemoglobin levels and hookworm consolidates the fact that malaria parasitaemia was an important contributor of anemia while hookworms and
Plasmodium seemed to interact negatively. Actually no co-infection was recorded involving hookworm infection in contrast to Naing et al. [
8] who reported a positive association between hookworms and asymptomatic malaria. Though insignificant the observed positive correlation between malaria parasitaemia density and the densities of
Ascaris,
Trichuris and other intestinal parasites seem to imply that these two groups of parasites interact positively. However, the malaria parasitaemia densities of children positive for
Trichuris was higher compared to children positive for
Ascaris (data not shown, Additional file
4) in agreement with reports by Mulu et al. [
9] that
Trichuris infection was associated with increased malaria parasitaemia.
Ascaris infection did not appear to have any effect on haemoglobin levels while both Trichuris and hookworm infections seemed to have a negative effect and infection with the other intestinal parasites clearly had a negative effect on haemoglobin levels. In view of the variation in routes of entry to the host and the different clinical outcomes, the interaction of these helminths with malaria parasites is expected to be different from one another [
8].
No significant association of susceptibility to malaria during the study was observed between children positive or negative for helminths. Previous association of helminth infection with an increased risk for malaria incidence has been confirmed in two other studies. The first study reported a positive association between intestinal helminths and infection with
P. falciparum in adults in Thailand, whereas the second study on mothers and children in Zaire described a positive association between infection with
Ascaris and the occurrence of
P. falciparum as reviewed by Hartgers and Yazdanbakhsh, [
1]. However, though children positive for helminths seemed to be exposed to the same number of malaria episodes as children who were negative for helminthes, results from a cohort of people on the Thai-Myanmar border have shown that helminth-infected patients had a twofold increase of falciparum malaria incidence (fever + malaria parasites on the blood smear) [
12]. In a review, Nacher [
24] reports increased gametocyte carriage in a human study and increased malaria transmission in an animal model of helminth-malaria co-infection. In the absence of disease, patients co-infected with worms and malaria may represent a hub of malaria transmission [
24]. A recent meta-analysis of mouse co-infection studies suggests that depending on the existing immune interaction between a given host and malaria parasites, addition of a helminth co-infection may have contrasting effects on malarial disease: co-infection increased mortality and peak parasitaemia in ordinarily resolving
Plasmodium infections, but had a far less effect on lethal
Plasmodium infections and even tended to delay death in cerebral malaria models [
7].
Authors’ contributions
EAA initiated the collaborative project and designed data collection tools. EAA, TN-A, JKA monitored data collection for the surveys. JKA, TOA, CN-Y, RNM, HFC, RBT, CN, ENN implemented the surveys. TOA, CN-Y, HFC, RBT keyed and cleaned up the data. TOA and CN-Y wrote the statistical analysis plan and CN-Y analysed the data. CN-Y, EAA, TN-A drafted the paper. CN-Y, EAA, TOA, JKA, RNM, HFC, RBT, CN, ENN and TN-A revised the paper. All authors read and approved the final manuscript.